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An accurate forecast of runoff is very significant so that there is ample time for the pertinent authority to issue a forewarning of the impending flood. Due to the highly dimension and nonlinear, the calibration of hydrological model become very complex, so the unique “best” parameter set can not be obtained easily. In this study, an MCMC sampler entitled the Shuffled Complex Evolution Metropolis...
Genetic algorithm (GA) is a global search technique and useful in finding near optimal solutions to complex non-linear optimization problems. Therefore, it is applied in this study to calibrate a lumped Xinanjiang hydrological model having 16 parameters. The lumped model consists 4 components: runoff generation, evapotranspiration , runoff subdivision and slope runoff routing. It is ?lumped?, for...
To establish a parallel fusion approach of processing high dimensional information, the model and criterion of multi-sensor fuzzy stochastic data fusion were presented. In order to design genetic algorithm fusion ( the fusion parameter coding ) initial population and fitness function establishing, and fuzzy logic controller designing for genetic operations and probability choosing were complete d...
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